Part 2: Estimating Migration Effort — Turning Insights into Actionable Plans

This is Part 2 of our blog series exploring how Blueprint Assess can support a successful RPA migration. In this installment, we unpack how Blueprint turns deep automation metrics into meaningful project estimates.

You’ve got metrics. You know what your bots are doing and how complex they are. Now the real question: how long is this migration going to take?

Blueprint doesn’t leave you guessing. It comes with built-in estimation tools that translate technical insights into practical forecasts for project planning.

1. In-Product Estimation Dashboard

• Shows work required to fix compiler errors and complete TODO items.

• Adjustable parameters for developer productivity, fix rates, and complexity.

• Roll-up views summarize estimates across the entire bot estate.

2. Excel-Based Estimation Templates

• Export TODOs and compiler errors, then plug them into a tailorable workbook.

• Account for re-spying UI selectors (usually 30% of total selectors).

• Add complexity tiers, custom frameworks, and even developer experience levels.

3. Rule-Based Estimation Adjustments

• Configure conversion rules and recalculate estimates to reflect actual work.

• Automatically exclude non-actionable TODOs and reduce overestimation.

4. Don’t Forget Pre- and Post-Work

• Blueprint estimates focus on code conversion, but you should add:

  • Pre-work: reviewing and understanding each bot

  • Post-work: UAT, re-testing, and deployment

Pro Tip: Some bots might not be worth migrating. Use Blueprint's triage capabilities to retire or rebuild low-value or overly complex automations.

Next Step: With estimates in hand, you’re ready to plan your migration phases. In Part 3, we’ll show you how to build a migration strategy that’s efficient, scalable, and minimizes risk.

Missed Part 1? You can find it here.